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Proceedings Paper

Automatic short axis orientation of the left ventricle in 3D ultrasound recordings
Author(s): João Pedrosa; Brecht Heyde; Laurens Heeren; Jan Engvall; Jose Zamorano; Alexandros Papachristidis; Thor Edvardsen; Piet Claus; Jan D'hooge
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Paper Abstract

The recent advent of three-dimensional echocardiography has led to an increased interest from the scientific community in left ventricle segmentation frameworks for cardiac volume and function assessment. An automatic orientation of the segmented left ventricular mesh is an important step to obtain a point-to-point correspondence between the mesh and the cardiac anatomy. Furthermore, this would allow for an automatic division of the left ventricle into the standard 17 segments and, thus, fully automatic per-segment analysis, e.g. regional strain assessment. In this work, a method for fully automatic short axis orientation of the segmented left ventricle is presented. The proposed framework aims at detecting the inferior right ventricular insertion point. 211 three-dimensional echocardiographic images were used to validate this framework by comparison to manual annotation of the inferior right ventricular insertion point. A mean unsigned error of 8, 05° ± 18, 50° was found, whereas the mean signed error was 1, 09°. Large deviations between the manual and automatic annotations (> 30°) only occurred in 3, 79% of cases. The average computation time was 666ms in a non-optimized MATLAB environment, which potentiates real-time application. In conclusion, a successful automatic real-time method for orientation of the segmented left ventricle is proposed.

Paper Details

Date Published: 1 April 2016
PDF: 7 pages
Proc. SPIE 9790, Medical Imaging 2016: Ultrasonic Imaging and Tomography, 97900E (1 April 2016); doi: 10.1117/12.2214106
Show Author Affiliations
João Pedrosa, Lab. on Cardiovascular Imaging and Dynamics, KU Leuven (Belgium)
Brecht Heyde, Lab. on Cardiovascular Imaging and Dynamics, KU Leuven (Belgium)
Laurens Heeren, Lab. on Cardiovascular Imaging and Dynamics, KU Leuven (Belgium)
Jan Engvall, Ctr. for Medical Image Science and Visualization, Linköping Univ. (Sweden)
Jose Zamorano, Ramón y Cajal Univ. Hospital (Spain)
Alexandros Papachristidis, King's College Hospital (United Kingdom)
Thor Edvardsen, Ctr. for Cardiological Innovation (Norway)
Oslo Univ. Hospital, Rikshospitalet (Norway)
Piet Claus, Lab. on Cardiovascular Imaging and Dynamics, KU Leuven (Belgium)
Jan D'hooge, Lab. on Cardiovascular Imaging and Dynamics, KU Leuven (Belgium)


Published in SPIE Proceedings Vol. 9790:
Medical Imaging 2016: Ultrasonic Imaging and Tomography
Neb Duric; Brecht Heyde, Editor(s)

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